Today’s AI, despite its power, is still primitive in usability, much like the early command-line days of personal computing. “We are in the MS-DOS era of AI,” according to Abhishek Mathur, VP of engineering at Figma, a San Francisco-based software company that provides a cloud-based design and prototyping platform.
Mathur told AIM, “every prompt, every agent, every new modality is a design waiting to happen,” underscoring that we are only seeing the early stages of what AI can do and become.
Users interact with AI through prompts the way people once typed commands into MS-DOS, effective, but far from intuitive or accessible. The real transformation will come when AI moves into its “Windows moment,” where visual, multimodal, and agent-driven interfaces replace text-based prompting and make AI truly seamless.
Just as graphical operating systems unlocked the mass adoption of computing, the next phase of AI will be defined not just by better models, but by better design.
Previously, chief product officer (CPO) at Microsoft, Aparna Chennapragada also told AIM that she thinks this is “the DOS-to-GUI moment of AI.” She added that Microsoft is pursuing two paths—integrating AI into familiar tools like Word, Excel and PowerPoint, and developing AI-first interfaces such as the M365 Copilot app and new AI editors.
The early days of computing were text-based, command-driven, and intimidating to the average user. Then came the graphical user interface (GUI), a breakthrough that made computing accessible to everyone.
Figma, Mathur believes, will play a similar role in AI-era creativity. “The next generation of designers will define how humans interact with AI. We’re only just getting started, ” he said.
Bengaluru as the Command Line
With its world-class talent across engineering, product, and design, Bangalore is uniquely positioned to shape this future. The city needs to now translate this depth into global leadership in AI product design.
The next generation of AI-native products will require multidisciplinary teams that combine model capability with deep understanding of workflows and user behaviour.
Leslie Joseph, principal analyst at research and advisory firm Forrester, told AIM that if the ecosystem continues to invest in product leadership, design education, and cross-functional collaboration, the city can evolve from being a delivery hub to being a birthplace of world-leading AI-native products.
India is Figma’s second-largest market, home to one of its most vibrant user communities. “Every year, 35 million design files are created in India,” Mathur said. “That’s 35 million ideas, products, and innovations, and it’s growing exponentially.”
The Friends of Figma community, made up of designers, engineers, and product leaders, is thriving across cities like Bengaluru, Pune, and Hyderabad.
Figma is constantly expanding its product ecosystem, from FigJam, the company’s collaborative whiteboard, to Figma Make, its latest prompt-to-application product. “Figma Make allows you to build applications inspired by your company’s design systems,” said Mathur. “So when you turn an idea into an app, it’s instantly on-brand, functional, and production-ready.”
The enthusiasm isn’t limited to design. India also leads globally in the adoption of Figma Make, the AI-powered product that turns text prompts into functioning prototypes.
“The highest number of makes in any country have been created in India,” Mathur shared. India is increasingly a development hub for Figma. The company is hiring across design, engineering, and developer advocacy roles in Bengaluru, with plans to build global products from India.
Role of AI in the Next Phase
The next leap in AI isn’t just about better models—it’s about the rise of agentic AI, where systems don’t merely respond but act. In this phase, AI agents will extend the reasoning abilities of underlying models into real-world products
“What distinguishes meaningful products is the way they translate ambiguous human intent into structured tasks, guide users through decisions, and create trust through clear boundaries and feedback,” Joseph added.
Talking to AIM, Siddon Tang, SVP of engineering and product, chief architect, and GM of the Asia Pacific region for TiDB, an open source database, stated that “Great product design is what makes AI feel magical.”
Tang further added that as we move into the era of AI agents, design becomes even more critical. Agents may run on top of LLMs, but they still depend on high-quality APIs, guardrails, permissions, memory structures, and interaction models.
All of that is product design.
This is the reason why “Product-led growth (PLG) becomes even more potent in the AI era,” Tang said, adding, “think of products like Dropbox, Lovable, Manus, and others—they scaled because the experience was so good that users naturally shared them.”
The biggest breakthroughs ahead won’t come from slightly smarter models but from products that translate model intelligence into real-world capability, clarity, and confidence.
Tools like Canva, Figma, Notion, and a wave of vertical SaaS platforms are embedding AI everywhere. And as users bring more ideas, workflows, and creative inputs into these tools, AI itself improves.
AI’s role in design, Mathur argued, is twofold: it lowers the barrier to entry while raising the ceiling of what’s possible.
“As an engineer or product manager, you can now be an effective designer,” he said. “And as a designer, you’re freed from repetitive tasks, localisation, renaming layers, filling mockups — to focus on craft, quality, and vision.”
Figma, in his words, is not about replacing designers, but about amplifying creativity across roles. “Designers will now be in the business of codifying quality,” he added. “They’ll define the brand’s DNA in design systems — and everyone else can build on it.”
The post ‘We Are in the MS-DOS Era of AI’ appeared first on Analytics India Magazine.
The steady drumbeat of data centre announcements across India provokes a critical question: Does the country actually need all of them?
Industry projections suggest the demand is real. India’s data centre demand is expected to surge from 1.3 GW in FY2025 to 4.7-5.7 GW by FY2030, attracting a significant influx of investment from both domestic and global players.
Recent industry data, expert perspectives and insights from the draft prospectus of Sify Infinit Spaces (Sify)—India’s first pure-play data centre company heading to IPO—provide clarity on whether this boom is justified or overblown.
The underlying drivers are strong. Internet usage has expanded dramatically, and according to a September report by Kotak Mutual Funds, India generates 20% of global data but stores only 3% of it locally.
Two forces are now working to close this gap: the growing demand for lower latency and the government’s push for data localisation.
But there’s also a third force, one that created this gap in the first place and continues to amplify the need for localisation and speed: the explosive growth of wireless internet usage in India, which underpins everything from social media to AI-driven services.
The Wireless Explosion
India has transitioned from a low-data market to one of the world’s heaviest users, driven by the affordability of data and a rapid shift towards video-heavy consumption.
Source: Kotak Mutual Fund
One indicator of AI’s growing demand is India’s rapid adoption of tools like ChatGPT.
Depending on the source, India now ranks either first or second in global usage. India is also a significant market for a wide range of AI products.
Recognising this, AI companies are planning data centres equipped with the GPU-based infrastructure needed to support these workloads.
Furthermore, the IndiaAI Mission, approved in March 2024 with a ₹10,372 crore outlay, aims to expand national AI infrastructure through a public-private partnership model.
Over 34,000 GPUs have been committed so far, with 17,000 already deployed by data centre providers such as Yotta, Netmagic and Sify, who supply compute power to startups and researchers via a shared platform.
This large-scale rollout not only fuels AI research but also accelerates the expansion of data centre capacity across India.
“India consumes a huge amount of digital assets and generates a massive amount of data that can be used to train models,” explained Amit Agrawal, president of Techno Digital.
This dual role positions India as an attractive location for AI companies looking to build and train their models.
Sify states that AI-related workloads will surge from less than 1% of total data centre workloads in India in Fiscal 2025 to 15-20% by Fiscal 2030.
Regulatory mandates also aid the demand.
The Reserve Bank of India’s 2018 directive mandated that all payment data be stored exclusively within India. SEBI’s 2023 mandate extended this requirement to stock exchanges, brokers, mutual funds, depositories and KYC agencies.
The upcoming Digital Personal Data Protection Act, 2023, added another layer of data localisation requirements across sectors.
Other policies, such as Digital India, BharatNet and National Digital Communications Policy, are all, in one way or another, promoting increased internet usage in India.
The Economics That Make It Work
But demand alone doesn’t build data centres. The economics must work—and in India, they do, often in ways that surprise people familiar with developed markets.
Data-centre development costs in India average just $7 per watt, among the lowest globally. Electricity costs are 20% lower than in the United States.
For infrastructure players with deep roots in the power sector, these numbers are especially compelling.
The country has solved the infrastructure constraint that would typically limit this kind of build-out. India transitioned from a power-deficient to a power-sufficient status, reaching a total installed capacity of 452.69 GW by October 2024, with essentially zero power deficit.
“Wherever there is power availability, the data [centres] will go there, not the other way around,” Agrawal pointed out. This inverts the traditional model where you build a data centre and then figure out power.
In May last year, the country reached its peak demand of around 250 GW and has met 242 GW so far in 2025. Renewable capacity reached 203.18 GW, accounting for 46.3% of total power.
Sify Infinit Spaces estimates that data centres currently consume less than 0.5% of India’s total power generation capacity, which means there’s headroom for massive expansion without straining the grid.
India also serves as a critical hub for global data transfers. The country hosts 17 international subsea cables, which land at 14 stations across five coastal cities: Mumbai, Chennai, Kochi, Tuticorin and Thiruvananthapuram.
In an earlier interaction with AIM, Sify’s CFO MP Vijay Kumar said these cities, especially Mumbai and Chennai, function like “international airports for data”.
These subsea cables enable high-speed, high-capacity data transmission, reducing latency and disruptions. Their proximity to landing stations makes these regions prime locations for large-scale data centre development.
Beyond these fundamental factors, both state and central governments are providing substantial incentives to establish data centre facilities.
Tamil Nadu offers a three-year waiver on electricity duty and stamp duty concessions. Uttar Pradesh provides an electricity duty exemption for 10 years and a stamp duty exemption on the first transaction. Meanwhile, Maharashtra offers 100% stamp duty exemption along with a permanent exemption from electricity duty.
Why Infrastructure Players are Flooding In
The macro story makes sense on paper, but understanding why established infrastructure players are flooding this market requires looking at their actual deployments.
Telecom giants like Airtel, broadband specialists like Sify, and conglomerates with expertise in power and real estate, such as Adani, have all entered the market, each leveraging their core strengths.
The same pattern holds across the industry, even for mid-sized and emerging players.
Take Techno Digital, which carries a 40-year legacy in power infrastructure through its parent, Techno Electric & Engineering Company. In October 2024, the company announced a $1 billion investment to build 250 MW of data centre capacity across India.
The rollout commenced with a 36 MW facility in Chennai, which launched in July, followed by an 18 MW facility in Noida and a 13 MW facility in Kolkata. “Tamil Nadu is one of the most conducive states in terms of doing business,” Agrawal noted, alluding to the policy backing the company received.
Techno’s foundations in engineering, procurement and construction, coupled with decades of experience delivering mission-critical power infrastructure, give the company a distinct advantage in designing, building and operating data centres closely integrated with power supply.
As these operators leverage their power and infrastructure strengths, data centres are expanding well beyond Tier-1 hubs.
Mumbai acts as the financial and global gateway, Noida benefits from government proximity and land availability, and Hyderabad offers a growing IT ecosystem with cost advantages.
Land economics drive this diversification. Premium micro-markets, such as Powai, West Hyderabad and Gurugram, are expensive; mid-range areas, including Thane-Belapur Road, Noida and Ambattur, offer a more balanced approach. Meanwhile, emerging zones like Panvel and South Hyderabad provide low entry costs and room for growth.
Latency is also a crucial technical factor driving this geographic expansion. “India is not a very big country, but it is a sizable country where east-to-west coverage, or north-to-south coverage, can take anywhere between 30 milliseconds and 45 milliseconds in the connected world,” Agrawal explained.
He pointed out how AI, which promises a variety of real-time applications and use cases, might lose its importance if latency increases to a second. This is pushing infrastructure towards Tier 2 and Tier 3 cities, where power is available and land costs are lower.
Read More: India’s Most Powerful AI Data Centres by Capacity
The Global-Local Partnership Model
A conducive ecosystem is forming between local and global players. Global hyperscalers like Google aren’t building everything from scratch; they rely heavily on Indian partners for land, power, construction and regulatory navigation. In turn, local firms gain access to cutting-edge AI and cloud platforms.
The Indian conglomerate Adani Group, for instance, was chosen to supply renewable energy to Google’s Indian cloud and data centre operations. In Jamnagar, Gujarat, Reliance Industries Limited (RIL) and Google Cloud are collaborating to build a dedicated AI cloud region.
RIL will design, build and power the facility, while Google Cloud supplies its global-standard AI infrastructure, compute, software stacks and services.
This data advantage, combined with competitive costs, power availability, a regulatory push and strategic partnerships, suggests that India’s data centre boom is a response to genuine market forces.
Inside a Major Operator: The Sify Model
In addition to these on-the-ground insights, Sify’s Draft Red Herring Prospectus (DHRP) offers deeper insight into the quantitative aspects of how a large-scale player operates in India.
It ranks among the top three colocation service providers in India, with a 15.26% market share by built IT capacity as of March 31.
The company continues to expand aggressively, including through large-scale projects such as its 130 MW AI-ready data centre campus in Siruseri, near Chennai.
Sify operates 14 operational colocation data centre facilities with a power capacity of 188.04 MW as of June 30.
These facilities are spread across six cities: Mumbai, Chennai, Noida, Hyderabad, Bengaluru and Kolkata.
The core capacity serves enterprise clients across banking, financial services, insurance, fintech and media, as well as hyperscaler customers, all of which require over 99.99% uptime and carrier-neutral hyperconnectivity.
For specialised AI workloads, Sify has deployed three new NVIDIA-certified DGX-Ready campuses engineered for high-density computing.
Sify Infinit Spaces is currently profitable. For the financial year ended March 31, revenue from operations was ₹1,428.36 crores and profit after taxes was ₹126.36 crores.
This explains why state electricity duty exemptions matter so much. A permanent exemption from electricity duty in Maharashtra doesn’t just improve margins by a few basis points; it fundamentally changes project economics. Various state policies also ensure that data centres receive an uninterrupted power supply.
The capital expenditure breakdown reveals where money actually goes when building a data centre. Land and the building shell account for 25-30% of project costs. Power-based infrastructure, such as substations and high-voltage systems, accounts for 4-6%. The remaining 60-65% goes to power-optimised design fit-outs covering electrical, mechanical, and cooling systems.
Besides, the state government’s support directly translates into Sify’s bottom line, in ways that go beyond tax exemptions.
The company’s Chennai 02 facility is situated on 4.90 acres of land leased from the State Industries Promotion Corporation of Tamil Nadu, a state government entity.
The terms include a 93-year lease, an upfront payment of ₹22.13 crores, and annual rent of ₹1 per year for 92 years—one rupee per year.
This type of arrangement makes projects pencil out faster by eliminating land cost escalation risk for nearly a century.
The Customer Concentration Reality
The top three clients of Sify, all hyperscalers, accounted for 67.04% of revenue in Q1 fiscal 2025.
While Sify has not explicitly revealed any names, it states that hyperscalers refer to companies such as AWS, Microsoft, Google and Oracle, which are consuming approximately 55% of Indian data centres’ IT megawatt capacity as of March 31.
That said, with hyperscalers building more of their own capacity in India, insourcing remains a real competitive risk for colocation providers.
Sify serves over 500 clients in total, including three of the top four global hyperscaler companies, seven of the top 10 Indian banks and four of the top 10 Indian insurance companies.
Contract economics show the long-term nature of the business. As of June 30, 67.04% of Sify’s revenue came from contracts with terms of at least seven years.
The average relationship length with the company’s top five clients was seven years. Most contracts include built-in rental increases of 2-4% annually, providing predictable revenue growth.
Sify’s utilisation profile shows steady absorption of the capacity it brings online. The gap between installed and operational capacity is narrow, which signals that most of what it builds is quickly backed by customer commitments.
Among Sify’s 188.04 MW of built capacity, 131.88 MW is installed, meaning 70.2% is usable today. 113.67 MW is operational, which is 60.4% of the total built capacity.
India’s data centre surge reflects genuine digital demand and strong economics, but it shouldn’t eclipse broader priorities.
As operators scale, the real test is whether growth can coexist with responsible resource use—and whether the country can extend reliable power, water and connectivity to households with the same urgency it brings to hyperscale infrastructure.
The post Unpacking India’s Data Centre Boom appeared first on Analytics India Magazine.
As AI continues to reshape industries and business models, Polestar Analytics is positioning itself not just as a service provider but as a strategic partner by helping organisations align data, decisions and transformation.
In a conversation with Polestar Analytics’ co-founders, Chetan Alsisaria (CEO), Amit Alsisaria (COO) and Ajay Goenka (CFO), AIM discussed how they envision AI evolving, what enterprise readiness truly means and why convergence is the next frontier for data-driven businesses.
Rethinking Enterprise AI
Reflecting on how enterprise AI has changed over the last two years, Chetan said the biggest realisation has been that success in AI is as much about defensibility as it is about innovation.
“The real gap lies between AI ambition and enterprise readiness,” he explained. “Many organisations still operate in silos across teams, technology and processes, leaving no clear path from pilot to production. The need of the hour is alignment, convergence, ownership and trust—not just algorithmic brilliance.”
He added that as hyperscalers and startups pour billions into AI, true differentiation will come from domain context, agility and trust by building IP that is industry-aware, outcomes-driven and closely aligned with the business.
Ajay, on the other hand, believes the next wave of AI leadership will require both technical fluency and human intelligence. “The next generation of AI leaders will need to connect data science with empathy, ethics and domain fluency,” he said. “We’re moving from a world of coders to a world of contextual thinkers.”
Betting on Convergence
Meanwhile, Amit described Polestar Analytics’ strategic bet on what he calls “the great convergence of data and process”.
He pointed out that while 80% of enterprise data is unstructured, most organisations still design their AI strategies around the structured 20%. “That’s like trying to understand human behaviour by only reading spreadsheets,” Amit said.
Amit explained that the real winners in the next decade won’t be the ones building the most advanced models, but those who can turn unstructured data—like emails, documents, conversations and videos—into actionable and operational intelligence.
AI Adoption in India
According to Ajay, Indian enterprises are at an inflexion point in their AI journey.
“A few years ago, the conversation was around AI experimentation. Today, it’s about how to scale responsibly and drive measurable outcomes,” he said.
Across the world, industries are no longer evolving through incremental change. They’re reimagining entire systems with AI that is contextual, cost-efficient and outcome-first.
“The biggest opportunity lies in convergence,” Ajay added. “True transformation will happen when data, decisions and delivery operate in one connected ecosystem.”
From Services to Platforms
Polestar Analytics recently raised new funding to accelerate the development of its 1Platform, an enterprise-grade AI and data convergence stack.
“Our fundraiser is a strategic step towards transforming from a services-led organisation into a platform-driven AI company,” Chetan said.
The company plans to deploy capital across three areas: IP development, enterprise expansion and global growth. “We’re doubling down on the convergence of data, decisions and automation, helping enterprises scale faster with governance and measurable impact built in from day one,” he said.
Amit cited a recent project with a consumer goods company where 1Platform unified production, sales and supply chain data into a single intelligent layer.
“Earlier, leaders were making decisions on outdated dashboards,” he said. “With 1Platform, they can now ask, ‘What’s putting my Q4 targets at risk?’ and get real-time, contextual answers.”
Collaborating Across the Ecosystem
On partnerships, Amit shared that Polestar Analytics’ collaborations with hyperscalers, startups and academia go beyond traditional alliances.
“With hyperscalers like Microsoft and Databricks, we’re doing co-creation—building joint solutions using Azure and Databricks stacks,” he said.
Polestar Analytics also partners with institutions like IIM Calcutta for the PGDBA programme. “We help universities align with real-world industry needs while tapping into fresh thinking,” Amit said.
On startups, he pointed out, “It’s about speed and specialisation. Startups bring focused innovation; we bring market access and implementation expertise.”
When asked what sets Polestar Analytics apart, Chetan said enterprises should seek partners that understand both business context and technical complexity.
“The right AI partner connects data, workflows and outcomes,” he said. “They take a neutral, interoperable approach and commit to ROI and governance from day one. That’s exactly what we’ve built with 1Platform.”
He added that the company’s differentiation lies in “speed to value, contextual intelligence and measurable business transformation.”
Balancing Ambition and Responsibility
For Ajay, responsible scaling is central to Polestar Analytics’ growth philosophy.
“It’s not about how quickly you can innovate, but how responsibly you can scale,” he said. “Every AI solution we build touches data, people and decisions. That comes with immense responsibility.”
Polestar Analytics embeds governance and ethical checkpoints into its delivery model. “Responsibility means ensuring every solution reflects our values as much as it drives value,” he added.
Through its centre of excellence, the company tests every emerging technology internally before deploying it for clients. “When we walk into a client meeting, we’re not speaking theoretically; we’ve already used it ourselves,” Amit said.
Looking Ahead to 2030
According to Chetan, many enterprises struggle to derive measurable value from GenAI due to poor governance and a lack of alignment.
“My advice: start small, but start with purpose,” he said. “Treat every pilot as if it’s going to scale. Build governance and LLMOps from day one.”
He shared that GenAI creates real value only when it’s built on an organisation’s own data, workflows and context, and when success is measured through meaningful metrics such as adoption, accuracy and tangible business impact.
Chetan described Polestar Analytics’ long-term goal as enabling organisations to operate as truly AI-first enterprises, where data, intelligence and execution function as a single, seamless system.
“If we’ve done our job right, enterprises will operate with greater agility, lower friction and higher trust,” he said. “Success is when AI isn’t a project anymore—but the default way enterprises think, decide and act.”
The post Inside Polestar Analytics and the Future of Converged Data Ecosystems appeared first on Analytics India Magazine.
xAI, the AI lab led by Elon Musk, released the Grok 4.1 AI model on November 17. The model is claimed to bring improvements in creative writing and emotional intelligence.
“It is more perceptive to nuanced intent, compelling to speak with, and coherent in personality, while fully retaining the razor-sharp intelligence and reliability of its predecessors,” the company claimed.
On the LMArena Text leaderboard, which evaluates AI models on text-generation quality by a blind test by human voters, Grok 4.1 Thinking stands at the #1 spot with 1483 points, and Grok 4.1 stands second at 1465 points.
On EQ-Bench, which evaluates the emotional intelligence capabilities of AI models, Grok 4.1 models occupied the top two positions.
Even on the Creative Writing v3 benchmark, Grok 4.1 Thinking and Grok 4.1 were among the top three models tested. The model is also claimed to bring lower hallucinations.
To achieve the above results, xAI stated, “We used the same large-scale reinforcement learning infrastructure that powered Grok 4 and applied it to optimise the style, personality, helpfulness, and alignment of the model.” The company also ‘silently’ deployed preliminary Grok 4.1 builds to users to gauge their preferences. “Compared to the previous production model in traffic, Grok 4.1 is preferred 64.78% of the time.”
Recently, CNBC reported that xAI is raising $15 billion in a Series E round; however, Musk denied the development in a post on X.
False
— Elon Musk (@elonmusk) November 13, 2025
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Karnataka has rolled out a wide set of incentives to pull IT and ITes growth beyond Bengaluru its the state’s new Information Technology (IT) Policy 2025–2030. The policy focuses on greener infrastructure, stronger talent pipelines, and lower operating costs for companies that expand outside the city.
The government will fund 40% of eligible R&D spending up to ₹5 crore for units across the state. Developers building new IT parks outside Bengaluru will get 20% of capital expenditure support, capped at ₹5 crore, after clearance from state committees.
The policy pushes talent creation. Companies will get half of the internship stipend for three months, up to ₹5,000 a month, with a limit of 100 interns. Recruitment assistance rises with hiring volume. Firms hiring 701 to 999 employees can claim 50% of recruitment costs up to ₹7 crore.
Units hiring more than a thousand workers will get a custom package. Companies shifting employees to regions outside Bengaluru will get half of relocation costs up to ₹50,000 per worker.
New employees hired in these regions will also draw ₹3,000 a month for two years if they stay for that period.
Skilling gets a push with 20% reimbursement of training costs, with higher support when candidates get hired. Faculty training programmes can get half of their training bills covered up to ₹10 lakh a cohort.
Operational support is a major part of the plan. Firms can claim rental assistance for the first year of commercial operations, with a cap of ₹50 lakh for larger teams. The government will reimburse half of the cost of quality certifications up to three times.
Patent filing support covers half of the statutory fees. Domestic patents can fetch up to ₹3 lakh for units outside Bengaluru. International patents can fetch up to ₹10 lakh in that region. Companies can shift from commercial to industrial power tariffs.
New units operating beyond Bengaluru will get full electricity duty reimbursement for five years and 30% property tax reimbursement for three years.
Companies moving outside the city will also get support for internet and telecom bills. The government will reimburse 25% of annual internet costs up to ₹6 lakh for three years.
The push is aimed at spreading IT growth across the state with clear financial incentives for expansion, talent development, and green infrastructure.
The Karnataka cabinet has approved two major policies — the Information Technology (IT) Policy 2025–2030 and the Space Technology Policy 2025–2030 on November 13 and announced the same at Bengaluru Tech Summit 2025 on November 18.
These policies aim to strengthen the state’s position as a leading technology hub in India. The Cabinet has set aside ₹967.12 crore to implement these initiatives over the next five years.
Under the new IT Policy, the government wants to increase software exports from ₹ 4.09 lakh crore to ₹ 11.5 lakh crore by 2030. It also wants to raise the IT sector’s share in Karnataka’s economy from 26% to 36%. The policy aims to create over 90 lakh direct and indirect jobs during this period.
The post Karnataka Unveils 16 Incentives to Push IT Outside Bengaluru appeared first on Analytics India Magazine.
Infosys has unveiled its AI-First GCC Model, a specialised offering designed to accelerate the creation and transformation of Global Capability Centres (GCCs) into AI-driven hubs for innovation and business growth.
The company in a release said the new model enables enterprises to reposition their GCCs as strategic engines that deliver agility, innovation and competitive advantage in an increasingly AI-first landscape.
The launch builds on Infosys’ track record of more than 100 engagements with GCC entities across industries, including setting up and managing centres for Lufthansa Systems, zooplus and Danske Bank.
Infosys said the AI-First GCC Model addresses the challenges enterprises face when scaling or modernising GCCs by providing a comprehensive path from setup to operational readiness, while embedding AI-led transformation through production-grade agents and a unified platform ecosystem.
Satish HC, EVP and chief delivery officer, Infosys, said that as enterprises transform GCCs into strategic hubs, Infosys is ready to accelerate their journey.
“Our AI-first approach, comprehensive GCC lifecycle capabilities, and global delivery excellence, uniquely position us to help clients unlock new value. Our dedicated GCC practice will offer speed, scale, and strategic depth essential for the next wave of enterprise transformation,” he said.
The offering integrates Infosys Agentic Foundry for building and scaling reliable production-grade AI agents, EdgeVerve AI Next as the unified platform for applied and agentic AI at enterprise scale, and Infosys Topaz to infuse AI-first services across the GCC lifecycle.
Infosys noted that its expertise in AI-led business process transformation further strengthens the model’s ability to help enterprises operate smarter and faster.
The company recently partnered with Lufthansa Systems to establish a dedicated GCC developing sustainable aviation IT products and data-driven solutions to enhance safety, efficiency, customer experience and competitiveness using generative AI capabilities from Infosys Topaz.
Infosys said the model unifies technology, talent and transformation capabilities to help clients convert their GCCs into scalable innovation engines that support global mandates and business growth.
It includes fully integrated lifecycle management for GCC setup and expansion, covering strategy, site selection, entity creation, recruitment and operational launch, as well as embedded AI capabilities aimed at improving efficiency, speeding time-to-market and unlocking new business opportunities.
The offering also leverages the Infosys Springboard digital learning platform and the company’s corporate university infrastructure to create a pipeline of future-ready talent tailored to enterprise needs.
Additionally, Infosys provides flexible operating models such as Build-Operate-Transfer, assisted builds, joint ventures and partner-hosted approaches to suit varying GCC strategies. In the statement, Lufthansa Systems said its GCC with Infosys is helping build a future-ready innovation hub that improves aviation safety, efficiency and customer experience.
Danske Bank highlighted that its Infosys-run GCC is now core to executing its AI-first strategy, integrating AI across software delivery and business functions like customer service, compliance and risk.
Everest Group noted that Infosys’ GCC approach combines technology partnerships, AI investments, innovation labs, flexible infrastructure and a broad talent model to support enterprises through the full GCC lifecycle.
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